Introduction to meta-analysis /
This text provides a concise and clearly presented discussion of all the elements in a meta-analysis. It is illustrated with worked examples throughout, with visual explanations, using screenshots from Excel spreadsheets and computer programs such as Comprehensive Meta-Analysis (CMA) or Strata
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| Main Authors: | , , , |
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| Format: | Book |
| Language: | English |
| Published: |
Chichester, U.K. :
John Wiley & Sons,
2009.
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| Subjects: | |
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| 003 | OCoLC | ||
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| 100 | 1 | |a Borenstein, Michael, |e author. | |
| 245 | 0 | 0 | |a Introduction to meta-analysis / |c Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, Hannah R. Rothstein. |
| 264 | 1 | |a Chichester, U.K. : |b John Wiley & Sons, |c 2009. | |
| 300 | |a xxviii, 421 pages : |b illustrations ; |c 25 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 505 | 0 | |a How a meta-analysis works -- Why perform a meta-analysis -- Effect size and precision -- Overview -- Effect sizes based on means -- Effect sizes based on binary data (2 x 2 tables) -- Effect sizes based on correlations -- Converting among effect sizes -- Factors that affect precision -- Concluding remarks -- Fixed-effect versus random-effects models -- Overview -- Fixed-effect model -- Random-effects model -- Fixed-effect versus random-effects models -- Worked examples (part 1) -- Heterogeneity -- Overview -- Identifying and quantifying heterogeneity -- Prediction intervals -- Worked examples (part 2) -- Subgroup analyses -- Meta-regression -- Notes on subgroup analyses and meta-regression -- Complex data structures -- Overview -- Independent subgroups within a study -- Multiple outcomes or time-points within a study -- Multiple comparisons within a study -- Notes on complex data structures -- Other issues -- Overview -- Vote counting: a new name for an old problem -- Power analysis for meta-analysis -- Publication bias -- Issues related to effect size -- Overview -- Effect sizes rather than p-values -- Simpson's paradox -- Generality of the basic inverse-variance method -- Further methods -- Overview -- Meta-analysis methods based on direction and p-values -- Further methods for dichotomous data -- Psychometric meta-analysis -- Meta-analysis in context -- Overview -- When does it make sense to perform a meta-analysis? -- Reporting the results of a meta-analysis -- Cumulative meta-analysis -- Criticisms of meta-analysis -- Resources and software -- Software -- Books, web sites and professional organizations | |
| 520 | 8 | |a This text provides a concise and clearly presented discussion of all the elements in a meta-analysis. It is illustrated with worked examples throughout, with visual explanations, using screenshots from Excel spreadsheets and computer programs such as Comprehensive Meta-Analysis (CMA) or Strata | |
| 650 | 0 | |a Meta-analysis. | |
| 700 | 1 | |a Hedges, Larry V., |e author. | |
| 700 | 1 | |a Higgins, Julian P. T., |e author. | |
| 700 | 1 | |a Rothstein, Hannah R., |e author. | |
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